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You should be upgrading your Career Java to Hadoop

Tags: hadoop java

In this post, we shall touch base upon some of the aspects of Big Data Hadoop as a viable career upgrade alternative for all those Java Developers. We will touch upon key aspects as to why a Java programmer is rightly placed to discover better and better opportunities in the Hadoop ecosystem. We shall see the distinguishing difference that can happen in the career of an expert after moving from a Java domain to a full-fledged Hadoop domain. Online Hadoop Training is the latest course for individuals who want to get into the Hadoop career.

If you are applying for a Hadoop job role, it is best to be prepared to respond any Hadoop interview question that may come your way. Online Hadoop Training is designed to put in order you for your next project in the world of Big Data. Hadoop is the market leader among Big Data Technologies and it is a principal expertise for every professional in this field. Spark is also gaining significance with an emphasis on real-time processing.

Online hadoop training

Top causes you should be Upgrading your Java Career to Hadoop!

  1. Java is the programming language of option for Hadoop
    As you are aware Hadoop is a massive Open Source platform for working on enormously huge volumes of data that is beyond the capacity of traditional database management tools. It needs huge commodity hardware support and processing power of the distributed computers in order to productively run Hadoop in any environment. Hadoop is a framework that owes a huge part of its success to the Java language.
  2. Hadoop is expected career progression for Java developers
    Java programming is being deployed in manifold applications and to meet varied business needs. Hadoop is a new framework for working with Big Data but it has the foundations of Java programming language. So for experts working in Java, the Hadoop switchover can be a normal progression. So the analytical consideration process of Java developers lends itself very fine to the Hadoop framework and hence this is a rational extension for their careers too.
  3. Java Developers make better Hadoop Developers
    When you have a rigid knowledge of the working of Hadoop and can without difficulty program in Java language then you would be a better Hadoop developer as a direct consequence. The entire programming for Hadoop Development is done by the Java programming language. So equipped with know-how in Java programming you can effortlessly start programming for the Hadoop framework and become a successful Hadoop developer.
  4. Industry is looking for Hadoop experts with Java skills
    If you look at any of the job advertisements or even big business who are hiring Hadoop experts, the coming thing is a requirement for Hadoop experts who have a firm programming skill in Java language. It not only enhances their marketability but Java programmers who are adept at Hadoop can also see their career and salaries rise without a drawback as compared to regular Hadoop experts who are not so adept at Java programming.
  5. Better Pay Packages for Hadoop experts
    Perchance one of the most compelling causes for any Java developer to move into Hadoop domain is the lucrative pay packages on offer. As a Java developer you will be deemed among the rest of the developers out there but as a big data Hadoop developer, you will be considered among the privileged few who can work on the cutting-edge technology field like Hadoop. There is a stern paucity of experts who are experts in the Hadoop domain. So it is only expected for a Java professional to move into this field for superior opportunities, a wider domain that Hadoop command and lastly and the most significant is the fat pay checks that you can draw as your monthly salaries.

Moving from Java to Big Data Hadoop would be the preeminent career decision that you will be making what with Hadoop taking over the corporate world by storm.

The post You should be upgrading your Career Java to Hadoop appeared first on IT SKills Training Blog.

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You should be upgrading your Career Java to Hadoop


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